search.noResults

search.searching

dataCollection.invalidEmail
note.createNoteMessage

search.noResults

search.searching

orderForm.title

orderForm.productCode
orderForm.description
orderForm.quantity
orderForm.itemPrice
orderForm.price
orderForm.totalPrice
orderForm.deliveryDetails.billingAddress
orderForm.deliveryDetails.deliveryAddress
orderForm.noItems
Mesirov, J.P. (2010). Accessible reproducible research. Science 327(5964), 415–416. https://doi.org/10.1126/science.1179653.


Monnappa, A. (2017). Data science vs. big data vs. data analytics. https://www.simplilearn.com/data- science-vs-big-data-vs-data-analytics-article (Accessed: 27 April 2018).


Nakashima, D., McLean, K.G., Thulstrup, H.D., Castillo, A.R. and Rubis, J.T. (2012). Weathering Uncertainty: Traditional Knowledge for Climate Change Assessment and Adaptation. Paris: United Nations Educational, Scientific, and Cultural Organization and United Nations University. http://unesdoc.unesco.org/images/0021/002166/216613e.pdf.


Newman, G., Wiggins, A., Crall, A., Graham, E., Newman, S. and Crowston, K. (2012). The future of citizen science: Emerging technologies and shifting paradigms. Frontiers in Ecology and the Environment 10(6), 298-304. https://doi.org/10.1890/110294


Olson, J.A. (2010). Data as a service: Are we in the clouds? Journal of Map and Geography Libraries 6(1), 76–78. https://doi.org/10.1080/15420350903432739.


Open Data Charter (2015). International Open Data Charter. https://opendatacharter.net/wp-content/ uploads/2015/10/opendatacharter-charter_F.pdf.


Porsanger, J. and Guttorm, G. (2011). Working with Traditional Knowledge: Communities, Institutions, Information Systems, Law and Ethics. Trondheim: Sámi University College. https://brage.bibsys.no/ xmlui/handle/11250/177065.


Pottinger, L. (2012). Why our rivers need a citizen science movement. https://www.internationalrivers. org/resources/why-our-rivers-need-a-citizen-science-movement-7764.


Protocol on Pollutant Release and Transfer Registers (2003). Signed 21 May 2003. https://www.unece.org/fileadmin/DAM/env/documents/2003/pp/ch_XXVII_13_ap.pdf.


Pulse Lab Kampala (2017). Using machine learning to analyse radio content in Uganda: Opportunities for sustainable development and humanitarian action. 11 September 2017 https://www.unglobalpulse.org/news/using-machine-learning-accelerate-sustainable-development- solutions-uganda-0 (Accessed: 6 November 2017).


Raygorodetsky, G. (2017). ‘Braiding science together with indigenous knowledge’. Observations, 21 December 2017 https://blogs.scientificamerican.com/observations/braiding-science-together-with- indigenous-knowledge/


Roelfsema, C., Thurstan, R., Beger, M., Dudgeon, C., Loder, J., Kovacs, E. et al. (2016). A citizen science approach: A detailed ecological assessment of subtropical reefs at Point Lookout, Australia. PLoS ONE 11(10), e0163407. https://doi.org/10.1371/journal.pone.0163407.


Rominger, J. and Ikeda, S. (2015). The role of big data in solving environmental problems. Gradient Trends Risk Science and Application, Fall 2015, 64. https://gradientcorp.com/pdfs/newsletter/ Trends64.pdf.


Rotman, D., Preece, J., Hammock, J., Procita, K., Hansen, D., Parr, C. et al. (2012). Dynamic changes in motivation in collaborative citizen-science projects. Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work, 217-226. https://doi.org/10.1145/2145204.2145238


Secretariat of the Convention on Biodiversity (n.d.). Article 8(j) -Traditional Knowledge, Innovations and Practices. https://www.cbd.int/traditional/ (Accessed: 14 March 2018).


See, L., Fritz, S., Dias, E., Hendriks, E., Mijling, B. and Snik, F. (2016). Supporting earth-observation calibration and validation: A new generation of tools for crowdsourcing and citizen science. IEEE Geoscience and Remote Sensing Magazine 4(3), 38-50. https://doi.org/10.1109/ MGRS.2015.2498840.


Shirk, J., Ballard, H., Wilderman, C., Phillips, T., Wiggins, A., Jordan, R. et al. (2012). Public participation in scientific research: A framework for deliberate design. Ecology and Society 17(2), 29. https://doi.org/10.5751/ES-04705-170229.


Spitz, R., Pereira, C., Leite, L.C., Ferranti, M.P., Kogut, R., Oliveira, W. et al. (2017). Gamification, citizen science and civic engagement: In search of the common good. Balance-Unbalance 2017. Plymouth, 21-23 August 2017. http://balance-unbalance2017.org/events/gamification-citizen-science-and-civic- engagement-in-search-of-the-common-good/


Stodden, V. (2014). What scientific idea is ready for retirement? [Edge Foundation https://www.edge.org/responses/what-scientific-idea-is-ready-for-retirement (Accessed: 05 June 2018).


Storksdieck, M., Shirk, J.L., Cappadonna, J.L., Domroese, M., Göbel, C., Haklay, M. et al. (2016). Associations for citizen science: Regional knowledge, global collaboration. Citizen science: Theory and Practice 1(2), 1-10. https://doi.org/10.5334/cstp.55.


Takahashi, D. (2017). Got It debuts knowledge-as-service that uses AI to help you find human experts. [VentureBeat https://venturebeat.com/2017/06/06/got-it-debuts-knowledge-as-a-service-that-uses- ai-to-find-you-human-experts/ (Accessed: 22 February 2018).


Tebtebba Foundation (2015). Mapping our lands and waters: Protecting our future. Global Conference on Community Participatory Mapping in Indigenous Peoples’ Territories. North Sumatra, 25-27 August 2013. Baguio City http://www.iapad.org/wp-content/uploads/2017/01/mapping-our-lands-waters- protecting-our-future.pdf


Tengö, M., Brondizio, E.S., Elmqvist, T., Malmer, P. and Spierenburg, M. (2014). Connecting diverse knowledge systems for enhanced ecosystem governance: The multiple evidence base approach. Ambio 43(5), 579-591. https://doi.org/10.1007/s13280-014-0501-3.


The world’s most valuable resource is no longer oil, but data (2017). The Economist, 6 May. https://www.economist.com/news/leaders/21721656-data-economy-demands-new-approach- antitrust-rules-worlds-most-valuable-resource.


Thomas, R. and McSharry, P. (2015). Big Data Revolution: What Farmers, Doctors and Insurance Agents Teach Us About Discovering Big Data Patterns. Wiley. https://www.wiley.com/en-us/Big+Data+Revoluti on%3A+What+farmers%2C+doctors+and+insurance+agents+teach+us+about+ discovering+big+data+patterns-p-9781118943717.


Tsuji, L.J.S. (1996). Cree traditional ecological knowledge and science: A case study of the sharp- tailed grouse, Tympanuchus Phasianllus Phasianllus. The Canadian Journal of Native Studies XVI (1), 67-79. http://www3.brandonu.ca/cjns/16.1/tsuji.pdf.


Tsuji, L.J.S. and Ho, E. (2002). Traditional environmental knowledge and western science: In search of common ground. Canadian Journal of Native Studies 22(2), 327-360. http://www3.brandonu.ca/ cjns/22.2/cjnsv.22no.2_pg327-360.pdf.


Uitto, J. (2016). Use of big data in environmental evaluation: A focus session on use of new technologies in M&E and implications for evaluation. 19th


Meeting of the DAC Network on Development


Evaluation. Paris, 26-27 April 2016. https://www.gefieo.org/sites/default/files/ieo/ieo-documents/ Presentation-big-data.pdf


United Nations (1998). Convention on Access to Information, Public Participation in Decision- Making and Access to Justice in Environmental Matters. https://treaties.un.org/pages/viewdetails. aspx?src=ind&mtdsg_no=xxvii-13&chapter=27&clang=_en (Accessed: 24 January 2018).


United Nations (2014). Resolution adopted by the General Assembly on 29 January 2014. Fundamental Principles of Official Statistics. A/RES/68/261 New York, NY https://unstats.un.org/ unsd/dnss/gp/FP-New-E.pdf


United Nations (2015). Transforming Our World: The 2030 Agenda for Sustainable Development. New York, NY. https://sustainabledevelopment.un.org/content/documents/21252030%20Agenda%20 for%20Sustainable%20Development%20web.pdf.


United Nations (2016). The Sustainable Development Goals Report 2016. New York, NY. https://unstats.un.org/sdgs/report/2016/The%20Sustainable%20Development%20Goals%20 Report%202016.pdf.


United Nations (2018a). About. https://www.unglobalpulse.org/about-new (Accessed: 11 October 2018).


United Nations (2018b). News. https://www.unglobalpulse.org/blog (Accessed: 11 October 2018). United Nations (2018c). Big data: News. https://unstats.un.org/bigdata (Accessed: 11 October 2018).


United Nations, General Assembly (2007). United Nations Declaration on the Rights of Indigenous Peoples. New York. https://www.un.org/esa/socdev/unpfii/documents/DRIPS_en.pdf.


United Nations (n.d.). Indigenous Peoples: 2030 Agenda for Sustainable Development. https://www.un.org/esa/socdev/unpfii/documents/2016/Docs-updates/Indigenous-Peoples-and-the- 2030-Agenda-with-indicators.pdf


United Nations Convention to Combat Desertification (2016). Report of the Conference of the Parties on its Twelfth Session, held in Ankara from 12 to 23 October 2015 Part two: Action Taken by the Conference of the Parties at its Twelfth Session - Addendum 12-23 October. ICCD/COP (12)/20/Add.1. https://www.unccd.int/sites/default/files/sessions/documents/ICCD_COP12_20_Add.1/20add1eng. pdf.


United Nations Educational Scientific and Cultural Organization (2013). Agricultural Landscapes. October 2013 (69). United Nations Educational, Scientific and Cultural Organization http://es.calameo. com/read/00332997247675cccaf1e


United Nations Educational Scientific and Cultural Organization (2017). Local Knowledge, Global Goals. Paris. http://unesdoc.unesco.org/images/0025/002595/259599e.pdf.


United Nations Environment Programme (2012). Global Environment Outlook-5: Environment for the Future We Want. Nairobi: United Nations Environment Programme. http://wedocs.unep.org/bitstream/ handle/20.500.11822/8021/GEO5_report_full_en.pdf?sequence=5&isAllowed=y.


United States Environmental Protection Agency (n.d.). AirNow. https://airnow.gov/ (Accessed: 20 November 2018).


United States National Aeronautics and Space Administration (2018). Engaging citizen scientists with GPM. https://pmm.nasa.gov/articles/engaging-citizen-scientists-gpm (Accessed: 20 July 2018).


University of the West of England, Science Communication Unit, (2013). Science for Environment Policy In-depth Report: Environmental Citizen Science. Report produced for the European Commission. http://ec.europa.eu/environment/integration/research/newsalert/pdf/IR9_en.pdf.


UrbanEmissions.info (2016). Air quality forecasting for all India. http://www.urbanemissions.info/ (Accessed: 11 October 2018).


Vacarelu, F. (2017). ‘New paper from UN Global Pulse and UNHCR explores use of digital data for insights into forced displacement’. https://www.unglobalpulse.org/news/new-paper-un-global-pulse- and-unhcr-explores-use-digital-data-insights-forced-displacement (Accessed: 6 November 2017)


Van Vliet, K. and Moore, C. (2016). Citizen science initiatives: Engaging the public and demystifying science. Journal of Microbiology and Biology Education 17(1), 13-16. https://doi.org/10.1128/jmbe. v17i1.1019.


Vidal, J. (2016). The tribes paying the brutal price of conservation. The Guardian. https://www. theguardian.com/global-development/2016/aug/28/exiles-human-cost-of-conservation-indigenous- peoples-eco-tourism.


Webb, A. and Usher, D. (2017). ‘New vulnerability monitoring platform to assist drought-affected populations in Indonesia’. https://www.unglobalpulse.org/news/new-vulnerability-monitoring- platform-assist-drought-affected-populations-indonesia


Wells, T.N.C., Willis, P., Burrows, J.N. and van Huijsduijnen, R.H. (2016). Open data in drug discovery and development: Lessons from malaria. Nature Reviews Drug Discovery 15(10), 661-662. https://doi.org/10.1038/nrd.2016.154.


Williams, T. and Hardison, P. (2013). Culture, law, risk and governance: Contexts of traditional knowledge in climate change adaptation. Climate Change, 531–544. https://doi.org/10.1007/s10584- 013-0850-0.


World Bank (2016a). The World Bank Annual Report 2016. Washington, D.C. https://openknowledge. worldbank.org/bitstream/handle/10986/24985/9781464808524.pdf?sequence=3&isAllowed=y.


World Bank (2016b). World Development Report 2016: Digital Dividends. Washington, D.C: World Bank. https://openknowledge.worldbank.org/bitstream/handle/10986/23347/9781464806711.pdf.


World Intellectual Pr 25


Future Needs for Data and Knowledge


619


Page 1  |  Page 2  |  Page 3  |  Page 4  |  Page 5  |  Page 6  |  Page 7  |  Page 8  |  Page 9  |  Page 10  |  Page 11  |  Page 12  |  Page 13  |  Page 14  |  Page 15  |  Page 16  |  Page 17  |  Page 18  |  Page 19  |  Page 20  |  Page 21  |  Page 22  |  Page 23  |  Page 24  |  Page 25  |  Page 26  |  Page 27  |  Page 28  |  Page 29  |  Page 30  |  Page 31  |  Page 32  |  Page 33  |  Page 34  |  Page 35  |  Page 36  |  Page 37  |  Page 38  |  Page 39  |  Page 40  |  Page 41  |  Page 42  |  Page 43  |  Page 44  |  Page 45  |  Page 46  |  Page 47  |  Page 48  |  Page 49  |  Page 50  |  Page 51  |  Page 52  |  Page 53  |  Page 54  |  Page 55  |  Page 56  |  Page 57  |  Page 58  |  Page 59  |  Page 60  |  Page 61  |  Page 62  |  Page 63  |  Page 64  |  Page 65  |  Page 66  |  Page 67  |  Page 68  |  Page 69  |  Page 70  |  Page 71  |  Page 72  |  Page 73  |  Page 74  |  Page 75  |  Page 76  |  Page 77  |  Page 78  |  Page 79  |  Page 80  |  Page 81  |  Page 82  |  Page 83  |  Page 84  |  Page 85  |  Page 86  |  Page 87  |  Page 88  |  Page 89  |  Page 90  |  Page 91  |  Page 92  |  Page 93  |  Page 94  |  Page 95  |  Page 96  |  Page 97  |  Page 98  |  Page 99  |  Page 100  |  Page 101  |  Page 102  |  Page 103  |  Page 104  |  Page 105  |  Page 106  |  Page 107  |  Page 108  |  Page 109  |  Page 110  |  Page 111  |  Page 112  |  Page 113  |  Page 114  |  Page 115  |  Page 116  |  Page 117  |  Page 118  |  Page 119  |  Page 120  |  Page 121  |  Page 122  |  Page 123  |  Page 124  |  Page 125  |  Page 126  |  Page 127  |  Page 128  |  Page 129  |  Page 130  |  Page 131  |  Page 132  |  Page 133  |  Page 134  |  Page 135  |  Page 136  |  Page 137  |  Page 138  |  Page 139  |  Page 140  |  Page 141  |  Page 142  |  Page 143  |  Page 144  |  Page 145  |  Page 146  |  Page 147  |  Page 148  |  Page 149  |  Page 150  |  Page 151  |  Page 152  |  Page 153  |  Page 154  |  Page 155  |  Page 156  |  Page 157  |  Page 158  |  Page 159  |  Page 160  |  Page 161  |  Page 162  |  Page 163  |  Page 164  |  Page 165  |  Page 166  |  Page 167  |  Page 168  |  Page 169  |  Page 170  |  Page 171  |  Page 172  |  Page 173  |  Page 174  |  Page 175  |  Page 176  |  Page 177  |  Page 178  |  Page 179  |  Page 180  |  Page 181  |  Page 182  |  Page 183  |  Page 184  |  Page 185  |  Page 186  |  Page 187  |  Page 188  |  Page 189  |  Page 190  |  Page 191  |  Page 192  |  Page 193  |  Page 194  |  Page 195  |  Page 196  |  Page 197  |  Page 198  |  Page 199  |  Page 200  |  Page 201  |  Page 202  |  Page 203  |  Page 204  |  Page 205  |  Page 206  |  Page 207  |  Page 208  |  Page 209  |  Page 210  |  Page 211  |  Page 212  |  Page 213  |  Page 214  |  Page 215  |  Page 216  |  Page 217  |  Page 218  |  Page 219  |  Page 220  |  Page 221  |  Page 222  |  Page 223  |  Page 224  |  Page 225  |  Page 226  |  Page 227  |  Page 228  |  Page 229  |  Page 230  |  Page 231  |  Page 232  |  Page 233  |  Page 234  |  Page 235  |  Page 236  |  Page 237  |  Page 238  |  Page 239  |  Page 240  |  Page 241  |  Page 242  |  Page 243  |  Page 244  |  Page 245  |  Page 246  |  Page 247  |  Page 248  |  Page 249  |  Page 250  |  Page 251  |  Page 252  |  Page 253  |  Page 254  |  Page 255  |  Page 256  |  Page 257  |  Page 258  |  Page 259  |  Page 260  |  Page 261  |  Page 262  |  Page 263  |  Page 264  |  Page 265  |  Page 266  |  Page 267  |  Page 268  |  Page 269  |  Page 270  |  Page 271  |  Page 272  |  Page 273  |  Page 274  |  Page 275  |  Page 276  |  Page 277  |  Page 278  |  Page 279  |  Page 280  |  Page 281  |  Page 282  |  Page 283  |  Page 284  |  Page 285  |  Page 286  |  Page 287  |  Page 288  |  Page 289  |  Page 290  |  Page 291  |  Page 292  |  Page 293  |  Page 294  |  Page 295  |  Page 296  |  Page 297  |  Page 298  |  Page 299  |  Page 300  |  Page 301  |  Page 302  |  Page 303  |  Page 304  |  Page 305  |  Page 306  |  Page 307  |  Page 308  |  Page 309  |  Page 310  |  Page 311  |  Page 312  |  Page 313  |  Page 314  |  Page 315  |  Page 316  |  Page 317  |  Page 318  |  Page 319  |  Page 320  |  Page 321  |  Page 322  |  Page 323  |  Page 324  |  Page 325  |  Page 326  |  Page 327  |  Page 328  |  Page 329  |  Page 330  |  Page 331  |  Page 332  |  Page 333  |  Page 334  |  Page 335  |  Page 336  |  Page 337  |  Page 338  |  Page 339  |  Page 340  |  Page 341  |  Page 342  |  Page 343  |  Page 344  |  Page 345  |  Page 346  |  Page 347  |  Page 348  |  Page 349  |  Page 350  |  Page 351  |  Page 352  |  Page 353  |  Page 354  |  Page 355  |  Page 356  |  Page 357  |  Page 358  |  Page 359  |  Page 360  |  Page 361  |  Page 362  |  Page 363  |  Page 364  |  Page 365  |  Page 366  |  Page 367  |  Page 368  |  Page 369  |  Page 370  |  Page 371  |  Page 372  |  Page 373  |  Page 374  |  Page 375  |  Page 376  |  Page 377  |  Page 378  |  Page 379  |  Page 380  |  Page 381  |  Page 382  |  Page 383  |  Page 384  |  Page 385  |  Page 386  |  Page 387  |  Page 388  |  Page 389  |  Page 390  |  Page 391  |  Page 392  |  Page 393  |  Page 394  |  Page 395  |  Page 396  |  Page 397  |  Page 398  |  Page 399  |  Page 400  |  Page 401  |  Page 402  |  Page 403  |  Page 404  |  Page 405  |  Page 406  |  Page 407  |  Page 408  |  Page 409  |  Page 410  |  Page 411  |  Page 412  |  Page 413  |  Page 414  |  Page 415  |  Page 416  |  Page 417  |  Page 418  |  Page 419  |  Page 420  |  Page 421  |  Page 422  |  Page 423  |  Page 424  |  Page 425  |  Page 426  |  Page 427  |  Page 428  |  Page 429  |  Page 430  |  Page 431  |  Page 432  |  Page 433  |  Page 434  |  Page 435  |  Page 436  |  Page 437  |  Page 438  |  Page 439  |  Page 440  |  Page 441  |  Page 442  |  Page 443  |  Page 444  |  Page 445  |  Page 446  |  Page 447  |  Page 448  |  Page 449  |  Page 450  |  Page 451  |  Page 452  |  Page 453  |  Page 454  |  Page 455  |  Page 456  |  Page 457  |  Page 458  |  Page 459  |  Page 460  |  Page 461  |  Page 462  |  Page 463  |  Page 464  |  Page 465  |  Page 466  |  Page 467  |  Page 468  |  Page 469  |  Page 470  |  Page 471  |  Page 472  |  Page 473  |  Page 474  |  Page 475  |  Page 476  |  Page 477  |  Page 478  |  Page 479  |  Page 480  |  Page 481  |  Page 482  |  Page 483  |  Page 484  |  Page 485  |  Page 486  |  Page 487  |  Page 488  |  Page 489  |  Page 490  |  Page 491  |  Page 492  |  Page 493  |  Page 494  |  Page 495  |  Page 496  |  Page 497  |  Page 498  |  Page 499  |  Page 500  |  Page 501  |  Page 502  |  Page 503  |  Page 504  |  Page 505  |  Page 506  |  Page 507  |  Page 508  |  Page 509  |  Page 510  |  Page 511  |  Page 512  |  Page 513  |  Page 514  |  Page 515  |  Page 516  |  Page 517  |  Page 518  |  Page 519  |  Page 520  |  Page 521  |  Page 522  |  Page 523  |  Page 524  |  Page 525  |  Page 526  |  Page 527  |  Page 528  |  Page 529  |  Page 530  |  Page 531  |  Page 532  |  Page 533  |  Page 534  |  Page 535  |  Page 536  |  Page 537  |  Page 538  |  Page 539  |  Page 540  |  Page 541  |  Page 542  |  Page 543  |  Page 544  |  Page 545  |  Page 546  |  Page 547  |  Page 548  |  Page 549  |  Page 550  |  Page 551  |  Page 552  |  Page 553  |  Page 554  |  Page 555  |  Page 556  |  Page 557  |  Page 558  |  Page 559  |  Page 560  |  Page 561  |  Page 562  |  Page 563  |  Page 564  |  Page 565  |  Page 566  |  Page 567  |  Page 568  |  Page 569  |  Page 570  |  Page 571  |  Page 572  |  Page 573  |  Page 574  |  Page 575  |  Page 576  |  Page 577  |  Page 578  |  Page 579  |  Page 580  |  Page 581  |  Page 582  |  Page 583  |  Page 584  |  Page 585  |  Page 586  |  Page 587  |  Page 588  |  Page 589  |  Page 590  |  Page 591  |  Page 592  |  Page 593  |  Page 594  |  Page 595  |  Page 596  |  Page 597  |  Page 598  |  Page 599  |  Page 600  |  Page 601  |  Page 602  |  Page 603  |  Page 604  |  Page 605  |  Page 606  |  Page 607  |  Page 608  |  Page 609  |  Page 610  |  Page 611  |  Page 612  |  Page 613  |  Page 614  |  Page 615  |  Page 616  |  Page 617  |  Page 618  |  Page 619  |  Page 620  |  Page 621  |  Page 622  |  Page 623  |  Page 624  |  Page 625  |  Page 626  |  Page 627  |  Page 628  |  Page 629  |  Page 630  |  Page 631  |  Page 632  |  Page 633  |  Page 634  |  Page 635  |  Page 636  |  Page 637  |  Page 638  |  Page 639  |  Page 640  |  Page 641  |  Page 642  |  Page 643  |  Page 644  |  Page 645  |  Page 646  |  Page 647  |  Page 648  |  Page 649  |  Page 650  |  Page 651  |  Page 652  |  Page 653  |  Page 654  |  Page 655  |  Page 656  |  Page 657  |  Page 658  |  Page 659  |  Page 660  |  Page 661  |  Page 662  |  Page 663  |  Page 664  |  Page 665  |  Page 666  |  Page 667  |  Page 668  |  Page 669  |  Page 670  |  Page 671  |  Page 672  |  Page 673  |  Page 674  |  Page 675  |  Page 676  |  Page 677  |  Page 678  |  Page 679  |  Page 680  |  Page 681  |  Page 682  |  Page 683  |  Page 684  |  Page 685  |  Page 686  |  Page 687  |  Page 688  |  Page 689  |  Page 690  |  Page 691  |  Page 692  |  Page 693  |  Page 694  |  Page 695  |  Page 696  |  Page 697  |  Page 698  |  Page 699  |  Page 700  |  Page 701  |  Page 702  |  Page 703  |  Page 704  |  Page 705  |  Page 706  |  Page 707  |  Page 708  |  Page 709  |  Page 710  |  Page 711  |  Page 712  |  Page 713  |  Page 714  |  Page 715  |  Page 716  |  Page 717  |  Page 718  |  Page 719  |  Page 720  |  Page 721  |  Page 722  |  Page 723  |  Page 724  |  Page 725  |  Page 726  |  Page 727  |  Page 728  |  Page 729  |  Page 730  |  Page 731  |  Page 732  |  Page 733  |  Page 734  |  Page 735  |  Page 736  |  Page 737  |  Page 738  |  Page 739  |  Page 740  |  Page 741  |  Page 742  |  Page 743  |  Page 744
Produced with Yudu - www.yudu.com